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$150,000–$214,000.
Based on 238 similar postings.
Employer
About JPMorgan Chase
JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.
JPMorgan Chase currently has
1117 open roles
on FindRole.
Listed pay typically runs
$186,160–$215,000
across 7 roles with salary data.
Senior Lead Site Reliability Engineer joins the Infrastructure Platforms and Foundational Services team to define non-functional requirements, availability targets, and service level objectives for various product lines. This role involves creating high-quality designs, roadmaps, and program charters while mentoring technologists and championing site reliability adoption. The engineer will build observability and reliability designs for complex systems, manage infrastructure as code, and implement AI-assisted reliability workflows across the software development lifecycle. Key technical requirements include proficiency in Java, Go, Python, and Terraform, alongside experience with Docker, Kubernetes, and CI/CD pipelines. The role requires expertise in monitoring tools like Grafana and Prometheus, message queues like Kafka, and various databases including Neo4j and Pinecone. Additionally, the candidate will build AI agents using frameworks like LangChain and LangGraph to enhance reliability engineering within a distributed systems architecture.
Define non-functional requirements and availability targets for products and service lines.
Design and implement observability and reliability systems to ensure stable performance without increasing technical debt.
Integrate enterprise-authorized AI capabilities into reliability designs, incident analysis, and operational decision-making.
Lead the adoption of AI-assisted workflows across the software development lifecycle to automate testing and production readiness.
Develop high-quality engineering designs, roadmaps, and program charters for infrastructure platforms.
Debug and evolve critical components by analyzing application and platform interdependencies.
Mentor technologists on technical issues while promoting site reliability culture and practices.
Contribute to the firm's site reliability community through internal forums, guilds, and conferences.
What we're looking for
Formal training or certification in site reliability engineering concepts and 5+ years of applied experience.
Advanced knowledge of site reliability culture and principles to implement them within applications or platforms.
Expert proficiency in Java, Go (Golang), Python, and Terraform for building high-performance systems and infrastructure as code.
Experience using enterprise-authorized AI capabilities to improve reliability workflows while ensuring data security and auditability.
Hands-on experience building AI Agents and autonomous systems using frameworks like LangChain, LangGraph, AutoGen, or CrewAI.
Advanced knowledge of observability tools (Grafana, Dynatrace, Prometheus, Datadog, Splunk) and logging pipelines (Fluentd, Logstash, Vector).
Experience building production-grade RESTful APIs, message queue architectures (Kafka, RabbitMQ, SQS), and various database types including vector and graph databases.
Proficiency in containerization (Docker, Kubernetes), CI/CD pipelines, and GitOps workflows.
Site Reliability Engineering
Python
Java
Spring Boot
.Net
AI
CI/CD
Container Orchestration
AWS
Observability
Monitoring
Telemetry
Networking
System Architecture
SDLC